RAG AI Explained in 7 Minutes | Retrieval Augmented Generation Simple Explanation ✨✨

In this video, I explain RAG (Retrieval Augmented Generation) in just 7 minutes with a simple workflow. RAG is one of the most important AI architectures used in modern AI systems like ChatGPT, AI search engines, and AI assistants. You will learn: ✔ What is RAG in AI ✔ Why RAG is important ✔ RAG Architecture explained ✔ Vector Database and Embeddings ✔ How LLM retrieves knowledge ✔ Real-world AI system design Complete Workflow: User Query ↓ Convert Query into Embedding ↓ Search in Vector Database ↓ Retrieve Relevant Documents ↓ Send Context to LLM ↓ LLM Generates Final Answer This concept is extremely important for: AI Engineers Machine Learning Engineers Full Stack Developers AI Startup Builders AI Interview Preparation If you want to become an AI Engineer or build intelligent AI applications, understanding RAG is a must. Subscribe for more deep AI concepts explained simply. Channel: Vidya Vistar#RAG #AIEngineering #GenerativeAI #VectorDatabase #LLM #ArtificialIntelligence #AIArchitecture #MachineLearning #AIInterview #VidyaVistar